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Ada Meher is currently on the lookout for an experienced Data Engineering professional, on behalf of a market leading agency/consultancy, as they search for someone to work closely with their strategy, data science and software teams to design and build data pipelines, assemble large and complex data structures and improve data infrastructure scalability across a number of key accounts.Data Engineer Leeds (Remote) - £40-60,000 Data Pipeline Build, Cloud based Infrastructure, Flexible HoursThis role is currently being performed fully remotely and able to remain with flexibility in this regard long term, however applicants should be in a position to travel to Leeds based offices when required and have the full right to work in the UK.The ideal candidate will have both the experience working within a Data Engineering capacity with exposure to cloud-based infrastructure technologies as well as relevant Big Data technology. You will be comfortable assisting multiple teams as their point of escalation for data infrastructure based queries and passionate about giving actionable insights into complex data sets.To be considered:Demonstrable experience Data Pipeline Design and BuildDemonstrable experience with relevant Big Data technology (BigQuery, Data Bricks, Spark, Kafka)Scripting knowledge with Python, Javascript or similarKnowledge in provisioning tools such as Terraform or CloudformationExperience working on cloud-based infrastructures such as GCP, AWS or AzureThe company in question is a market leader not only in the solutions that they provide to their clients internationally but also the technology they work on and the environment they create with many perks such as flexible working hours and amazing progression opportunity. They aspire to create a relaxed environment where people can work on forward thinking technology solutions.This Data Engineer role is attracting a high number of applicants at the moment so be sure to get in contact ASAP to avoid missing out. Please send a CV in confidence for more information.
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